Sentence examples for based on population sequencing from inspiring English sources

Current genotyping assays are based on population sequencing of reverse transcriptase - polymerase chain reaction (RT-PCR) generated products of HIV protease (PR) and reverse transcriptase (RT) genes.

Algorithms to predict CXCR4 usage based on population sequencing of the V3 loop-coding region of env have low sensitivity for detecting X4 or D/M viruses in clinical samples [16].

Comparable with a linkage map of rice based on population sequencing with 15,795 SNPs (Xie et al. 2010) and a Brassica genetic map of 13,551 sequence-related amplified polymorphism markers (Sun et al. 2007), this map may facilitate fine mapping, gene cloning, global association mapping of cotton genes and traits, and other genomic studies.

For each genomic position i, the genotype Gi was inferred under Bayes' rule as described below: where the priors of each genotype, P G i), were estimated based on population genetics information, and the sequencing profiles incorporating read depth, allele counts and base qualities were modeled using the likelihood P(Data| G i).

Genotyping with spa has shown to have good correlation with multi-locus sequence typing (MLST), both of which have generally acceptable phylogenetic associations, based on population data derived from whole genome sequencing [ 4].

The strains were divided into 5 groups based on population genetic analysis of multilocus sequence typing data and the distribution of the RDs among the groups revealed gain and loss of RDs in different groups.

(The grants were prorated based on population).

Modelling based on population data.

The current widely applied standard method to screen for HIV-1 genotypic resistance is based on Sanger population sequencing (Sseq), which does not allow for the identification of minority variants (MVs) below the limit of detection for the Sseq-method in patients receiving integrase strand-transfer inhibitors (INSTI).

We have reported a general, though remarkably simple set of optimization principles based on analyzing the population sequencing problem.

SomaticSniper uses a Bayesian probability calculation to estimate the posterior probability of each possible joint genotype across the normal and cancer samples given the data observed and prior genotype likelihoods based on the reference sequence, sequencing error rate, population mutation rate and somatic mutation rate.